Train ML on Intelligence Analyst Best Practices
Description
Train AI on exemplary analyst work to suggest course of action to all IAs while they perform product research and development.
Detailed example
Suggested actions at each phase of HSTF NCC Product development workflow.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Improve efficiencies in developing HSTF NCC Products by providing decision support and limited automation by ML trained on exemplar analysts at the NCC. Provides guidance and suggestions particularly for resource-intensive actions, like conducting open source, commercial, or offline (swivel-chair) searches of data sets outside the NCC.
Controls / human review
ATO: Not reported; PIA: Not published